Job Closed
This listing is no longer active.
Accelerating your success along your AI & Data transformation journey.
Platform Engineer – Azure/AWS
Location
Spain
Posted
81 days ago
Salary
0
Seniority
Senior
Job Description
Platform Engineer – Azure/AWS
Visium
• Design and lead cloud infrastructure and DevOps architecture across environments • Define and maintain CI/CD standards, templates, and best practices • Own reliability, availability, security, and incident response processes • Drive Infrastructure as Code and automation at scale • Partner with engineering and architecture teams on platform decisions • Mentor engineers and contribute to DevOps strategy and roadmap
Job Requirements
- 5–8+ years of experience in Cloud / DevOps / Platform Engineering roles
- Strong expertise with Azure and/or AWS cloud provider
- Advanced experience with Infrastructure as Code and CI/CD at scale
- Strong knowledge of containers, orchestration, and cloud-native patterns
- Experience designing secure, highly available production systems
- Strong ownership mindset and ability to influence technical decisions
- Plus: Experience with Microsoft Fabric and/or Databricks
Benefits
- A competitive compensation package
- A yearly education budget to steep your learning curve
- A yearly sport budget because a fit body leads to a fit mind
- A flexible working culture because your work-life balance matters to us
- A position that enables you to have an impact on 1’000s of people, and the whole company's growth.
- An international, knowledgeable, and passionate team with a strong collaborative mindset
Related Guides
Related Categories
Related Job Pages
More Platform Engineer Jobs
Senior Platform Engineer
UptempoMarketing Planning Software - your system of record for marketing plans, budgets, and work.
• Design, build, and maintain our AWS cloud infrastructure with security, scalability, reliability, and profitability in mind • Manage and optimize Kubernetes clusters across environments • Drive automation and CI/CD improvements to accelerate developer productivity • Partner with engineering teams on solution architecture and enablement • Champion best practices in cloud security, monitoring, and performance • Collaborate cross-functionally to support a fast-paced, innovative SaaS environment
HPC - AI/ML Platform Engineer
Ford Motor CompanyAs Ford establishes a wholly owned subsidiary focused on Battery Energy Storage Systems, this role will initially be employed by Ford and is expected to transition to the subsidiary within one year.
• Design, implement, and support GPU/Kubernetes clusters and supporting infrastructure • Supporting AI/ML training, simulation, and HPC workload customers • Develop automation and tooling for cluster provisioning, configuration management, and platform operations • Collaborate with application and research teams to optimize workloads running on GPU infrastructure • Implement monitoring, observability, and performance tuning across GPU and compute platforms • Troubleshoot infrastructure issues across compute, networking, and container platforms (occasional on-call support) • Contribute to platform reliability, scalability, and operational best practices • Produce clear technical documentation and operational runbooks
Senior Mission Platform Engineer
AtreidesAtreides helps organisations transform complex datasets, autonomous systems and sensors into better operational tools. We provide high-fidelity data solutions, cloud compute and secure communication networks that enable customers to collect data and derive insights at the speed of relevance. We are a fast-moving, high-performance startup with teams across Canada, the UK, the US and Australia. We value a diverse team and believe inclusion drives better performance. We trust our team with autonomy, believing it leads to better results and job satisfaction. With a mission-driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of data and technology to make the world safer, stronger and more prosperous.
• Build and maintain Kubernetes platforms for customer-deployed and internally hosted products. • Integrate edge sensor ingest pathways to cloud analytics platforms using platforms such as Cloudflare to provide secure, performant connectivity between field-deployed systems and cloud infrastructure. • Own the container build, signing, scanning, and promotion pipeline for your supported products, implementing supply chain security best practices. • Build and operate multi-tenant SaaS infrastructure with a focus on tenant isolation, observability, and cost efficiency. • Implement infrastructure as code (Terraform, Pulumi) and CI/CD workflows to ensure environments are reproducible and delivery is auditable. • Collaborate with mission engineers to integrate field capabilities with the platform. • Provide support and troubleshooting on deployed systems.
Platform Engineer
AppsilonOpen-source AI, R & Python, cloud statistical computing, and SAS-to-OS migration to speed regulated drug development.
• Build and maintain scalable cloud environments (AWS, Azure) for data-driven projects • Automate DevOps processes (GitHub Actions, Azure DevOps, ArgoCD, GitlabCI) • Describe Infrastructure as Code (Terraform, Ansible) • Develop infrastructure for data science and ML workflows (e.g., Databricks, Posit) • Collaborate with cross-functional teams and advise clients on architecture and best practices • Lead documentation efforts and internal technical initiatives • Work on one or more client projects - as consultants, we usually work on one main project at a time, with occasional context switching across client engagements




